Accountabilities:

Work directly with clients and domain experts to understand business workflows, existing systems, operational challenges, and automation opportunities.

Identify and define specific problems to solve, establishing clear objectives and measurable success criteria.

Design, develop, and deploy LLM-powered applications, AI agents, and automated workflows tailored to business requirements.

Build integrations between AI solutions, APIs, databases, third-party platforms, and existing client systems.

Ensure production readiness by implementing conversation history, logging, monitoring, exception handling, and human review and escalation mechanisms.

Deploy AI solutions to real users, monitor their performance, manage unexpected scenarios, and deliver continuous improvements through regular releases.

Evaluate the effectiveness of AI workflows by measuring improvements in processing time, accuracy, manual effort, and operational efficiency.

Collaborate with cross-functional teams and client stakeholders to ensure solutions deliver measurable business value.

Requirements

1.5–4 years of professional software engineering experience, including hands-on experience developing applications powered by Large Language Models (LLMs).

Strong programming skills in Python and experience building reliable software applications.

Practical experience working with LLM APIs such as OpenAI, Anthropic, or equivalent platforms.

Familiarity with AI agent development and Retrieval-Augmented Generation (RAG) frameworks, particularly LangChain or LangGraph.

Experience integrating applications with APIs, databases, third-party services, and external business systems.

Understanding of production deployment requirements, including monitoring, logging, error handling, and application reliability.

Strong written and verbal English communication skills, with the ability to collaborate directly with US-based clients and stakeholders.

A proactive, ownership-driven mindset, with the ability to independently take projects from problem identification through development, deployment, and continuous improvement.

A bachelor's degree in Computer Science, Software Engineering, or a related discipline is preferred.

Additional experience in fintech, lending, mortgage operations, or document-intensive business workflows is an advantage.

Familiarity with OCR, document AI, LLM output evaluation, and production monitoring tools is considered a plus.

Benefits

Competitive annual compensation ranging from INR 1,450,000 to INR 2,500,000, depending on experience and qualifications.

Fully remote working arrangement within India.

Full-time employment with opportunities to work on innovative AI technologies.

Stock ownership opportunities alongside base salary.

Direct collaboration with the founder and engineering team.

Early ownership of meaningful projects and measurable client outcomes.

Hands-on exposure to real-world AI agents and LLM-powered automation used by US mortgage professionals.

Opportunities to develop expertise in AI engineering, workflow automation, and production-grade intelligent systems.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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